Execute large market data API calls and optionally store results as in-memory DataFrames for SQL querying. Automatically detects pagination via _next_page to retrieve complete datasets.
MIT
744,934 tools. Updated 2026-11-05 01:14
"Setting up SQL Server connections for agent querying" matching MCP tools:
- Display a getting-started guide with usage examples for recording agent actions, verifying receipts, using receipt chains, evaluating constraints, and generating invoices. Call this first when setting up.MIT
- Retrieve a list of all configured SQL Server connections with details on host, database, authentication type, and security mode.MIT
- List all configured SQL Server connections, showing host, database, authentication type, and security mode for each.MIT
- Close all active connections to the SQL Server database to free resources, ensure clean shutdowns, or prepare for maintenance. Returns disconnection status and count of closed connections.Apache 2.0
- Fetch historical stock price data and load it into a SQL database for analysis. Use this tool to prepare market data for SQL queries, enabling detailed financial analysis of price trends and patterns.MIT
Matching MCP Servers
- AlicenseNot gradedqualityDmaintenanceEnables natural language querying of SQLite databases through a secure MCP server that writes, runs, and explains SQL with a three-layer read-only guarantee.MIT
- AlicenseNot gradedqualityCmaintenanceGives an LLM read-only, schema-aware SQL database access so users can ask business questions in plain English and receive the exact result set, with malformed queries returned as errors for automatic retry and correction.MIT
Matching MCP Connectors
- ConnectionsOAuth
Post deals, host events, import contacts and keep notes and memory across every assistant.
SQL single-quote escape count, input discarded
- Fetch option chain data and load it into an SQL database for analysis using SQL queries. This tool enables structured querying of options data for the specified underlying symbol.MIT
- List all tables in a Microsoft Fabric lakehouse. Falls back to querying INFORMATION_SCHEMA for schema-enabled lakehouses to ensure complete results.AGPL 3.0
- Pose a plain-language question about your SQLite database; the agent writes and runs the SQL, then returns the answer and the SQL used. Use thread_id for follow-up questions.MIT
- List all SQL Server connections grouped by client or environment, making it easy to see which instances are configured and available.MIT
- Pulse a watchpin manually to verify hardware connections before enabling automatic triggers.MIT
- List API connections like Office 365, SQL, or Service Bus in a resource group to view shared authentication resources used by Logic Apps.MIT
- Runs SQL on a selected PostgreSQL connection, enforcing read-only validation for restricted mode and allowing DML/DDL on unrestricted connections.MITDestructive
- Retrieve all SQL Console connections (RDS Postgres/MySQL) available in this tenant.-
- List all configured SQL connections with their connection IDs for quick reference.MIT
- Set up a voice-enabled conversational AI agent with custom name, prompts, and voice settings for chatbots or assistants.MIT
- List active SQL connections on a warehouse or SQL Analytics endpoint to monitor activity and identify open sessions. Provide workspace and item names to get results.MIT
- Attach an independent named agent to a sprint session and retain the returned token for shared connections.Apache 2.0
- Close all active database connections to release resources, returning the disconnection status and count of closed connections.Apache 2.0
- Save SQL for reuse without executing it. Omit id to create a query; name, sql, and database are required. Visibility defaults to private. Supply id to update an existing query, with at least one of name, sql, database, or visibility.MITDestructive
- Describe database table columns, primary key, foreign keys, and indexes by querying the live catalog. Use before writing SQL joins or dashboard queries to verify column names and types.MIT